Call : (+91) 968636 4243
Mail :

Big Data and Analytics for Business Users

( Duration: 1 Day )

The Big Data and Analytics for Business Users training course introduces Cloud Computing, Big Data, and the emerging discipline of Data Analytics. Attention will be given to the three V’s of Big Data: Volume, Velocity, and Variety as well as the fourth V of Value. You will learn about these critical elements and the powerful value proposition that these capabilities provide. What are the processes, tools, and personnel that will be needed in order to take advantage of this sea change in information management. This course will equip you to understand your customers better and how to deliver more value today.

By attending Big Data and Analytics for Business Users workshop, delegates will learn:

  • Cloud Computing Basics
  • Introduction to Big Data
  • Understanding Data Analytics
  • Understanding Predictive Analytics
  • Basics of Analytical Modeling
  • Unpacking the Value, Volume, Velocity, and Variety
  • Organizational Considerations
  • Recommended Next Steps

  • Managers, Analysts, Architects, and Team Leads



Cloud Computing Basics

  • The Origin of Cloud Computing
  • Defining Cloud Computing
  • Five Characteristic of Cloud
  • Three Service Models of the Cloud
  • Four Deployment Models of the Cloud
  • Understanding by Analogy
  • Cloud Adoption By the Numbers

Introduction to Big Data

  • How did my data get so Big?
  • Big Data sources
  • Big Data analysis
  • Big Data Use Cases
  • Key vendors

The World of Analytics

  • Data Analytics
  • Predictive Analytics
  • The Life Cycle of Data Analytics
  • Common Analytical Models (Decision Trees, Linear vs Logistic Regression, Bayesian Techniques, etc.)

Exploring the Four Vs

  • The Value of Big Data and Analytics
  • Key Business Cases
  • Handling Data Volume
  • Handling Data Velocity
  • Handling Data Variety
  • Recommended Best Practices

The Technology of Big Data

  • Distributed Computing with MapReduce
  • Apache Hadoop and the Hadoop Distributed File System (HDFS)
  • Apache Hive, Pig, Sqoop, and Oozie
  • Google Fusion Tables
  • Machine Learning with BigML
  • Web Analytics Toolsets

Standing up a Big Data and Analytics Team

  • The importance of a Business Domain Model
  • The role of an Information Architect
  • Data Owners and Data Stewards
  • Data Scientists
  • Process Considerations
  • Tool and Technology Recommendations
  • Recommended Next Steps

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.